Bipolar fuzzy TOPSIS and bipolar fuzzy ELECTRE-I methods to diagnosis

• Published in: Computational & applied mathematics Vol. 39; no. 1
• Main Authors: Akram, Muhammad, Shumaiza, Arshad, Maham
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.03.2020; Springer Nature B.V
• Subjects: Applications of Mathematics; Applied physics; Computational mathematics; Computational Mathematics and Numerical Analysis; Decision making; Diagnosis; Diagnostic systems; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Mathematical Applications in Computer Science; Mathematical Applications in the Physical Sciences; Mathematics; Mathematics and Statistics; Medical diagnosis; Multiple criterion; Set theory; Signs and symptoms; BF-TOPSIS method; BF-ELECTRE-I method; 03E72; Bipolar fuzzy discordance matrix; 68R10; Bipolar fuzzy concordance matrix

Medical diagnosis is the process of determining which disease or condition explains a person’s symptoms or signs. The complexity and uncertainty of diagnostic information make the diagnostic process difficult to accomplish. Many theories concerned with medical diagnosis such as fuzzy set theory, rou...